How Wearable Technology Can Facilitate AI Analysis of Surgical Videos

Carla M Pugh; Ahmed Ghazi; Dimitrios Stefanidis; Steven D Schwaitzberg; Martin A Martino; Jeffrey S Levy

doi:10.1097/AS9.0000000000000011

How Wearable Technology Can Facilitate AI Analysis of Surgical Videos

Ann Surg Open. 2020 Oct 5;1(2):e011. doi: 10.1097/AS9.0000000000000011. eCollection 2020 Dec.

Authors

Carla M Pugh¹, Ahmed Ghazi², Dimitrios Stefanidis³, Steven D Schwaitzberg⁴, Martin A Martino⁵, Jeffrey S Levy⁶

Affiliations

¹ From the Department of Surgery, Stanford University School of Medicine, Stanford, CA.
² Department of Urology, University of Rochester Medical Center, Rochester, NY.
³ Department of Surgery, Indiana University School of Medicine, Indianapolis, IN.
⁴ Department of Surgery, University at Buffalo, Buffalo, NY.
⁵ Lehigh Valley Institute for Surgical Excellence, Lehigh Valley Health Network, Allentown, PA.
⁶ Institute for Surgical Excellence, Washington, DC.

Abstract

Operative video has great potential to enable instant replays of critical surgical decisions for training and quality review. Recently, artificial intelligence (AI) has shown early promise as a method of enabling efficient video review, analysis, and segmentation. Despite the progress with AI analysis of surgical videos, more work needs to be done to improve the accuracy and efficiency of AI-driven video analysis. At a recent consensus conference held on July 10-11, 2020, 8 research teams shared their work using AI for surgical video analysis. Four of the teams showcased the utility of wearable technology in providing objective surgical metrics. Data from these technologies were shown to pinpoint important cognitive and motor actions during operative tasks and procedures. The results support the utility of wearable technology to facilitate efficient and accurate video analysis and segmentation.

Keywords: Artificial intelligence; Objective metrics; Performance assessment; Wearable technology.